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Machine Learning Engineer

Outschool
Full Timejunior
San Francisco$160k – $237kPosted January 22, 2026

Salary Context

This role offers $160k–$237k. The median for Junior-level qa roles is $70k–$113k (based on 27 listings). 117% above median.

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PythonJavaScriptTypeScriptGraphQLReactPostgreSQLdbt

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Job Description

The Company:

Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human.

We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1M passionate learners with more than $100M in annual bookings.
 
Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning.

About the Role: 

We are an effective team of fully remote engineers distributed across the US and Canada. Our philosophy is to start small and then intentionally iterate to test our assumptions and learn quickly. We're iteratively building up a complex product for a highly engaged audience, getting a lot done by staying focused on the work that matters.

We work in modern JavaScript (TypeScript), React, GraphQL/Apollo, and Node, backed by PostgreSQL. Our marketplace search is powered by OpenSearch .

We believe that the future of education is hybrid: online and in-person. We are looking for engineers who are excited about inspiring children to learn by building tools that allow children to access a fundamentally different learning experience. We value hands-on experience most of all. If this opportunity sounds fun and interesting to you, feel free to apply!

Core Responsibilities: 

  • Collaborate with a team of Engineers, Product Managers, Data Scientists, and Designers to improve class search and recommendations for parents, learners, and educators
  • Develop, train, evaluate, and maintain machine learning models in Python
  • Identify opportunities for improving ML modeling, training and evaluation techniques
  • Work with the team to gather requirements, day-to-day activities such as daily standups, sprint planning, retros, deploying features in production and on-call

Desired Skills and Responsibilities:

  • 2+ years of experience working as an engineer or data scientist
  • Experience working with databases such as PostgreSQL and Redshift
  • Willingness to mentor others in what you know

Other Considerations:

  • Previous experience in startups
  • Previous EdTech or search engineering experience
  • Experience working with Opensearch, TypeScript, SageMaker, Redshift, Postgres, and DBT are a plus

Outschool recruits across the US and Canada, and sets employee salaries to reflect local compensation and cost of living. For New York and California candidates, as well as candidates based in Seattle, WA the salary range for this role would be $160,000-$236,500. For Washington candidates outside of Seattle, as well as Colorado candidates, the salary range for this role would be $144,000-$212,850.

 

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on March 21, 2024.

Please see the independent bias audit report covering our use of Cove

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